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[n° ou bulletin]
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -) 
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| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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| 081-2017051 | RAB | Revue | Centre de documentation | En réserve 3L | Disponible |
| 081-2017053 | DEP-EXM | Revue | LaSTIG | Dépôt en unité | Exclu du prêt |
| 081-2017052 | DEP-EAF | Revue | Nancy | Dépôt en unité | Exclu du prêt |
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Ajouter le résultat dans votre panierCartographic continuum rendering based on color and texture interpolation to enhance photo-realism perception / Charlotte Hoarau in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)
Titre : Cartographic continuum rendering based on color and texture interpolation to enhance photo-realism perception Type de document : Article/Communication Auteurs : Charlotte Hoarau Année de publication : 2017 Projets : Mapstyle / Christophe, Sidonie Article en page(s) : pp 27 - 38 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] chromatopsie
[Termes IGN] continuité cartographique
[Termes IGN] couche thématique
[Termes IGN] couleur (rédaction cartographique)
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] interpolation
[Termes IGN] orthoimage
[Termes IGN] rendu réaliste
[Termes IGN] représentation continue
[Termes IGN] texture d'image
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Graphic interfaces of geoportals allow visualizing and overlaying various (visually) heterogeneous geographical data, often by image blending: vector data, maps, aerial imagery, Digital Terrain Model, etc. Map design and geo-visualization may benefit from methods and tools to hybrid, i.e. visually integrate, heterogeneous geographical data and cartographic representations. In this paper, we aim at designing continuous hybrid visualizations between ortho-imagery and symbolized vector data, in order to control a particular visual property, i.e. the photo-realism perception. The natural appearance (colors, textures) and various texture effects are used to drive the control the photo-realism level of the visualization: color and texture interpolation blocks have been developed. We present a global design method that allows to manipulate the behavior of those interpolation blocks on each type of geographical layer, in various ways, in order to provide various cartographic continua. Numéro de notice : A2017-187 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.09.012 Date de publication en ligne : 20/10/2016 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.09.012 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84772
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 27 - 38[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve 3L Disponible 081-2017053 DEP-EXM Revue LaSTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Rule-guided human classification of Volunteered Geographic Information Type de document : Article/Communication Auteurs : Ahmed Loai Ali, Auteur ; Zoe Falomir, Auteur ; Falko Schmid, Auteur ; Christian Freksa, Auteur Année de publication : 2017 Article en page(s) : pp 3 – 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] classification
[Termes IGN] données descriptives
[Termes IGN] données localisées des bénévoles
[Termes IGN] données multisources
[Termes IGN] exploration de données
[Termes IGN] imprécision des données
[Termes IGN] production participative
[Termes IGN] règle d'association
[Termes IGN] relation topologiqueRésumé : (auteur) During the last decade, web technologies and location sensing devices have evolved generating a form of crowdsourcing known as Volunteered Geographic Information (VGI). VGI acted as a platform of spatial data collection, in particular, when a group of public participants are involved in collaborative mapping activities: they work together to collect, share, and use information about geographic features. VGI exploits participants’ local knowledge to produce rich data sources. However, the resulting data inherits problematic data classification. In VGI projects, the challenges of data classification are due to the following: (i) data is likely prone to subjective classification, (ii) remote contributions and flexible contribution mechanisms in most projects, and (iii) the uncertainty of spatial data and non-strict definitions of geographic features. These factors lead to various forms of problematic classification: inconsistent, incomplete, and imprecise data classification. This research addresses classification appropriateness. Whether the classification of an entity is appropriate or inappropriate is related to quantitative and/or qualitative observations. Small differences between observations may be not recognizable particularly for non-expert participants. Hence, in this paper, the problem is tackled by developing a rule-guided classification approach. This approach exploits data mining techniques of Association Classification (AC) to extract descriptive (qualitative) rules of specific geographic features. The rules are extracted based on the investigation of qualitative topological relations between target features and their context. Afterwards, the extracted rules are used to develop a recommendation system able to guide participants to the most appropriate classification. The approach proposes two scenarios to guide participants towards enhancing the quality of data classification. An empirical study is conducted to investigate the classification of grass-related features like forest, garden, park, and meadow. The findings of this study indicate the feasibility of the proposed approach. Numéro de notice : A2017-218 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85093
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 3 – 15[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve 3L Disponible 081-2017053 DEP-EXM Revue LaSTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt
Titre : A scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing Type de document : Article/Communication Auteurs : Rémi Cura, Auteur ; Julien Perret Année de publication : 2017 Projets : 3-projet - voir note / Christophe, Sidonie Article en page(s) : pp 39 – 56 Note générale : bibliographie
ANRT grant 20130042Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données massives
[Termes IGN] métadonnées
[Termes IGN] semis de points
[Termes IGN] serveur de données localisées
[Termes IGN] système de gestion de bases de données relationnelles
[Termes IGN] traitement d'imageRésumé : (auteur) In addition to more traditional geographical data such as images (rasters) and vectors, point cloud data are becoming increasingly available. Such data are appreciated for their precision and true three-Dimensional (3D) nature. However, managing point clouds can be difficult due to scaling problems and specificities of this data type. Several methods exist but are usually fairly specialised and solve only one aspect of the management problem. In this work, we propose a comprehensive and efficient point cloud management system based on a database server that works on groups of points (patches) rather than individual points. This system is specifically designed to cover the basic needs of point cloud users: fast loading, compressed storage, powerful patch and point filtering, easy data access and exporting, and integrated processing. Moreover, the proposed system fully integrates metadata (like sensor position) and can conjointly use point clouds with other geospatial data, such as images, vectors, topology and other point clouds. Point cloud (parallel) processing can be done in-base with fast prototyping capabilities. Lastly, the system is built on open source technologies; therefore it can be easily extended and customised.
We test the proposed system with several billion points obtained from Lidar (aerial and terrestrial) and stereo-vision. We demonstrate loading speeds in the ∼50 million pts/h per process range, transparent-for-user and greater than 2 to 4:1 compression ratio, patch filtering in the 0.1 to 1 s range, and output in the 0.1 million pts/s per process range, along with classical processing methods, such as object detection.Numéro de notice : A2017-219 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.06.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.06.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85096
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 39 – 56[article]Réservation
Réserver ce documentExemplaires (3)
Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve 3L Disponible 081-2017053 DEP-EXM Revue LaSTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt
Titre : Lightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications Type de document : Article/Communication Auteurs : Mehdi Daakir Année de publication : 2017 Projets : 1-Pas de projet / Christophe, Sidonie Article en page(s) : pp 115 – 126 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] CamLight
[Termes IGN] chambre métrique
[Termes IGN] données GPS
[Termes IGN] drone
[Termes IGN] Institut national de l'information géographique et forestière (France)
[Termes IGN] métrologie
[Termes IGN] orientation du capteur intégrée
[Termes IGN] récepteur monofréquenceRésumé : (auteur) This article presents a coupled system consisting of a single-frequency GPS receiver and a light photogrammetric quality camera embedded in an Unmanned Aerial Vehicle (UAV). The aim is to produce high quality data that can be used in metrology applications. The issue of Integrated Sensor Orientation (ISO) of camera poses using only GPS measurements is presented and discussed. The accuracy reached by our system based on sensors developed at the French Mapping Agency (IGN) Opto-Electronics, Instrumentation and Metrology Laboratory (LOEMI) is qualified. These sensors are specially designed for close-range aerial image acquisition with a UAV. Lever-arm calibration and time synchronization are explained and performed to reach maximum accuracy. All processing steps are detailed from data acquisition to quality control of final products. We show that an accuracy of a few centimeters can be reached with this system which uses low-cost UAV and GPS module coupled with the IGN-LOEMI home-made camera. Numéro de notice : A2017-220 Affiliation des auteurs : LASTIG LOEMI+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.12.007 Date de publication en ligne : 16/02/2017 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.12.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85098
in ISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 115 – 126[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2017051 RAB Revue Centre de documentation En réserve 3L Disponible 081-2017053 DEP-EXM Revue LaSTIG Dépôt en unité Exclu du prêt 081-2017052 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt
